Simulated Electrogram Parameter Variability by Fibrosis Degree and Type

Simulated biomedical data explores characteristic parameter variability across combinations of atrial fibrosis degree and type. The table provides average and standard deviation values for parameters like EGM duration, deflection count, and peak-peak amplitude. Author Josue Nataren Moran published this synthetic dataset in 2026.

Use Cases

• Analyze relationships between fibrosis degree and EGM duration or deflection count standard deviations.
• Model the inverse correlation between fibrosis density and peak-peak amplitude values.
• Compare characteristic parameter averages across different fibrosis types to confirm statistical insignificance.
• Use average and standard deviation values of EGM characteristics to validate cardiac simulation models.

Strengths

• Provides both average and standard deviation values for each parameter combination.
• Explicitly compares sensitivity of characteristics to fibrosis degree versus fibrosis density.
• Dataset is openly licensed under CC BY 4.0.

Limitations

• Very small dataset at only 5.5 KB, indicating limited scope and likely few rows.
• Data is simulated, not clinical, limiting direct applicability to real patient cases.
• Specific row and column counts are unknown, hindering assessment of analytical scale.

Provenance

Source

figshare, author Josue Nataren Moran.

Collection Method

Synthetic data from biomedical simulation of atrial electrograms.

Time Range

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Freshness

Last updated March 2026.

Geography

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